Data Scientist / Biostatistician
At a glance
Mid-level Data Science role at Jefferies. New York · full-time · $135,000–$165,000 base.
dataroles summary, based on the employer's posting.
What you'll do
- Build AI and statistical models to forecast trial results, success odds, regulatory decisions and commercial prospects
- Assess trial design, endpoints, patient groups, treatment effects, safety findings and subgroup results
- Use generative AI, language models and text analysis on scientific, regulatory, trial and company materials
- Develop automated tracking for drug pipelines, clinical milestones, competing programs and emerging risks
- Turn clinical evidence and model results into investment views, supporting forecasts, valuations and research with analysts
What you bring
- A PhD, MD or master’s degree is preferred in biostatistics, statistics or another listed scientific field
- You bring strong Python or R skills and experience creating predictive, machine-learning or generative-AI models
- You understand clinical-trial design and statistical analysis, and can explain complex scientific and quantitative findings clearly
Who this fits
This role suits someone interested in biotechnology, drug development, investing and financial markets. Equity-research experience can help, but it is not required. The position is full time in New York.
From the employer
AI-Driven Biotech & Pharma Equity Research
We are seeking a Data Scientist / Biostatistician to join our biotech and pharmaceutical equity research team. The role will focus on building proprietary AI, machine-learning, and statistical models to predict clinical-trial outcomes and generate differentiated investment insights.
Responsibilities
- Build AI and statistical models to predict clinical-trial results, probability of success, regulatory outcomes, and commercial potential.
- Analyze trial design, endpoints, powering, patient populations, treatment effects, safety, and subgroup data.
- Use generative AI, LLMs, and natural-language processing to analyze scientific publications, regulatory documents, trial registries, company disclosures, and earnings transcripts.
- Create automated tools to track pipelines, clinical catalysts, competitive programs, and emerging risks.
- Convert model outputs and clinical data into clear investment conclusions.
- Work with research analysts on company forecasts, pipeline valuations, and published research.
- Validate models and control for bias, overfitting, data leakage, and AI hallucinations.
Qualifications
- PhD, MD, or master’s degree preferred in biostatistics, statistics, data science, artificial intelligence, epidemiology, bioinformatics, computational biology, medicine, or a related field.
- Strong Python or R skills.
- Experience building machine-learning, predictive, or generative-AI models.
- Strong knowledge of clinical-trial design and statistical analysis.
- Ability to explain complex scientific and quantitative findings clearly.
- Interest in biotechnology, drug development, investing, and financial markets.
- Equity-research experience is helpful but not required.
Primary Location Full Time Salary Range of $135,000 - $165,000.
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